Ronen Eldan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 47

Top Topics

Gaussian Process

Convex Optimization

Top Venues

Random Struct. Algorithms

Publications

Mark Russinovich, Ahmed Salem, Ronen Eldan
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack. CoRR (2024)
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li
Textbooks Are All You Need. CoRR (2023)
Ronen Eldan, Mark Russinovich
Who's Harry Potter? Approximate Unlearning in LLMs. CoRR (2023)
Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, Allie Del Giorno, Suriya Gunasekar, Yin Tat Lee
Textbooks Are All You Need II: phi-1.5 technical report. CoRR (2023)
Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Yuanzhi Li, Yi Zhang
Positional Description Matters for Transformers Arithmetic. CoRR (2023)
Ahmed El Alaoui, Ronen Eldan, Reza Gheissari, Arianna Piana
Fast relaxation of the random field Ising dynamics. CoRR (2023)
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR (2023)
Ronen Eldan, Yuanzhi Li
TinyStories: How Small Can Language Models Be and Still Speak Coherent English? CoRR (2023)
Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
TinyGSM: achieving >80% on GSM8k with small language models. CoRR (2023)
Ronen Eldan, Dan Mikulincer, Prasad Raghavendra
Noise Stability on the Boolean Hypercube via a Renormalized Brownian Motion. STOC (2023)
Ronen Eldan, Avi Wigderson, Pei Wu
An Optimal "It Ain't Over Till It's Over" Theorem. STOC (2023)
Yi Zhang, Arturs Backurs, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Tal Wagner
Unveiling Transformers with LEGO: a synthetic reasoning task. CoRR (2022)
Ronen Eldan, Guy Kindler, Noam Lifshitz, Dor Minzer
Isoperimetric Inequalities Made Simpler. CoRR (2022)
Ronen Eldan, Dan Mikulincer, Prasad Raghavendra
Noise stability on the Boolean hypercube via a renormalized Brownian motion. CoRR (2022)
Yuansi Chen, Ronen Eldan
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains (extended abstract). FOCS (2022)
Yuansi Chen, Ronen Eldan
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains. CoRR (2022)
Ronen Eldan
Second-Order Bounds on Correlations Between Increasing Families. Comb. 42 (6) (2022)
Ronen Eldan, Avi Wigderson, Pei Wu
An Optimal "It Ain't Over Till It's Over" Theorem. CoRR (2022)
Ronen Eldan, Dana Moshkovitz
Reduction from Non-Unique Games to Boolean Unique Games. ITCS (2022)
Ronen Eldan, Dan Mikulincer, Hester Pieters
Community detection and percolation of information in a geometric setting. Comb. Probab. Comput. 31 (6) (2022)
Yuansi Chen, Ronen Eldan
Hit-and-run mixing via localization schemes. CoRR (2022)
Ronen Eldan, Dan Mikulincer, Tselil Schramm
Non-asymptotic approximations of neural networks by Gaussian processes. CoRR (2021)
Sébastien Bubeck, Ronen Eldan, Yin Tat Lee
Kernel-based Methods for Bandit Convex Optimization. J. ACM 68 (4) (2021)
Ronen Eldan, Dan Mikulincer, Tselil Schramm
Non-asymptotic approximations of neural networks by Gaussian processes. COLT (2021)
Ronen Eldan, Renan Gross
Concentration on the Boolean hypercube via pathwise stochastic analysis. STOC (2020)
Ronen Eldan, Dan Mikulincer, Hester Pieters
Community detection and percolation of information in a geometric setting. CoRR (2020)
Ronen Eldan, Dana Moshkovitz
Reduction From Non-Unique Games To Boolean Unique Games. CoRR (2020)
Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer
Network size and weights size for memorization with two-layers neural networks. CoRR (2020)
Ronen Eldan, Dana Moshkovitz
Reduction From Non-Unique Games To Boolean Unique Games. Electron. Colloquium Comput. Complex. 27 (2020)
Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer
Network size and size of the weights in memorization with two-layers neural networks. NeurIPS (2020)
Ronen Eldan, Dan Mikulincer
Stability of the Shannon-Stam inequality via the Föllmer process. CoRR (2019)
Sébastien Bubeck, Ronen Eldan
The Entropic Barrier: Exponential Families, Log-Concave Geometry, and Self-Concordance. Math. Oper. Res. 44 (1) (2019)
Itay Safran, Ronen Eldan, Ohad Shamir
Depth Separations in Neural Networks: What is Actually Being Separated? CoRR (2019)
Ronen Eldan, Assaf Naor
Krivine diffusions attain the Goemans-Williamson approximation ratio. CoRR (2019)
Itay Safran, Ronen Eldan, Ohad Shamir
Depth Separations in Neural Networks: What is Actually Being Separated? COLT (2019)
Ronen Eldan, Renan Gross
Stability of Talagrand's influence inequality. CoRR (2019)
Sébastien Bubeck, Ronen Eldan, Joseph Lehec
Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo. Discret. Comput. Geom. 59 (4) (2018)
Ronen Eldan, Mohit Singh
Efficient algorithms for discrepancy minimization in convex sets. Random Struct. Algorithms 53 (2) (2018)
Ronen Eldan, Miklós Z. Rácz, Tselil Schramm
Braess's paradox for the spectral gap in random graphs and delocalization of eigenvectors. Random Struct. Algorithms 50 (4) (2017)
Sébastien Bubeck, Yin Tat Lee, Ronen Eldan
Kernel-based methods for bandit convex optimization. STOC (2017)
Ronen Eldan, Renan Gross
Exponential random graphs behave like mixtures of stochastic block models. CoRR (2017)
Ronen Eldan, Ohad Shamir
The Power of Depth for Feedforward Neural Networks. COLT (2016)
Sébastien Bubeck, Ronen Eldan
Multi-scale exploration of convex functions and bandit convex optimization. COLT (2016)
Sébastien Bubeck, Ronen Eldan, Yin Tat Lee
Kernel-based methods for bandit convex optimization. CoRR (2016)
Sébastien Bubeck, Jian Ding, Ronen Eldan, Miklós Z. Rácz
Testing for high-dimensional geometry in random graphs. Random Struct. Algorithms 49 (3) (2016)
Ronen Eldan, Dan Mikulincer
Information and dimensionality of anisotropic random geometric graphs. CoRR (2016)
Sébastien Bubeck, Ronen Eldan
The entropic barrier: a simple and optimal universal self-concordant barrier. COLT (2015)
Sébastien Bubeck, Ronen Eldan
Multi-scale exploration of convex functions and bandit convex optimization. CoRR (2015)
Sébastien Bubeck, Ronen Eldan, Joseph Lehec
Sampling from a log-concave distribution with Projected Langevin Monte Carlo. CoRR (2015)
Ronen Eldan, Ohad Shamir
The Power of Depth for Feedforward Neural Networks. CoRR (2015)
Ofer Dekel, Ronen Eldan, Tomer Koren
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff. NIPS (2015)
Sébastien Bubeck, Ronen Eldan, Joseph Lehec
Finite-Time Analysis of Projected Langevin Monte Carlo. NIPS (2015)
Ronen Eldan, James R. Lee
Talagrand's Convolution Conjecture on Gaussian Space. FOCS (2015)
Sébastien Bubeck, Ronen Eldan, Elchanan Mossel, Miklós Z. Rácz
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model. CoRR (2014)
Sébastien Bubeck, Jian Ding, Ronen Eldan, Miklós Z. Rácz
Testing for high-dimensional geometry in random graphs. CoRR (2014)
Ronen Eldan, Mohit Singh
Efficient Algorithms for Discrepancy Minimization in Convex Sets. CoRR (2014)
Sébastien Bubeck, Ronen Eldan
The entropic barrier: a simple and optimal universal self-concordant barrier. CoRR (2014)
Ronen Eldan
A Polynomial Number of Random Points Does Not Determine the Volume of a Convex Body. Discret. Comput. Geom. 46 (1) (2011)